Breast Cancer Research and Treatment

, Volume 112, Issue 3, pp 523–531 | Cite as

The MSKCC nomogram for prediction the likelihood of non-sentinel node involvement in a German breast cancer population

  • M. Klar
  • A. Jochmann
  • M. Foeldi
  • M. Stumpf
  • G. Gitsch
  • E. Stickeler
  • D. Watermann
Clinical Trial


Objective To assess whether the Memorial Sloan Kettering Cancer Center (MSKCC) nomogram for prediction of NSLN metastasis is useful in a German breast cancer population and whether the characteristics of the breast tumor and the sentinel lymph node (SLN) are able to predict the likelihood of non-sentinel lymph node (NSLN) metastasis. Methods A total of 545 patients with primary breast cancer and SLN examination were evaluated. The MSKCC nomogram was applied to 98 patients with a positive SLN who subsequently had completion axillary lymph node dissection (ALND). Predictive accuracy was assessed by calculating the area under the receiver-operator characteristic (ROC) curve. The collective was evaluated by correlating the prevalence of NSLN and SLN metastasis to pathological features. Results The MSKCC nomogram achieved a ROC of 0.58 indicating a bad accuracy of the nomogram. Tumor size, histology, lymphovascular infiltration, multifocality, Her-2-neu positivity, and nuclear grade correlated with the probability of SLN metastasis. Histology and primary tumor localization correlated significantly with the probability of NSLN metastasis. Conclusions The MSKCC nomogram did not provide a reliable predictive model in our study population. However, the likelihood of SLN metastasis correlated with the presumed risk factors and no obvious differences between the MSKCC population and our population could be seen. In order to achieve interinstitutional reproducibility, standardization of surgical procedure and of the pathological assessment of the SLN is desirable.


Breast cancer Sentinel lymph node biopsy Non sentinel lymph node metastasis Axillary lymph node dissection Breast cancer nomogram 


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Copyright information

© Springer Science+Business Media, LLC. 2008

Authors and Affiliations

  • M. Klar
    • 1
  • A. Jochmann
    • 1
  • M. Foeldi
    • 1
  • M. Stumpf
    • 1
  • G. Gitsch
    • 1
  • E. Stickeler
    • 1
  • D. Watermann
    • 1
  1. 1.Department of Obstetrics and GynecologyUniversity of Freiburg, Medical SchoolFreiburgGermany

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